Description Usage Format Details Examples
The dataset includes randomly generated bivariate longitudinal binary responses and an associated covariate which has a standard uniform distribution, U(0,1). The assumed parameters to generate the data are: β^*=(β_0^*, β_1^*) = (-1, 1.9), λ_j=(λ_1^*, λ_2^*)=(1, 1.07) and b_{i1} \sim N(0,σ_1^2), σ_1=0.7. It is assumed that there are 500 subjects. The data include no missing value.
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A data frame with 1000 observations on the following 6 variables.
time
a numeric vector for the time information at which data is available
response
a numeric vector with the response information for which data is available
subject
a numeric vector for subject id
y
a numeric vector for bivariate longitudinal binary responses
ones
a numeric vector for which all the elements are 1
x
a numeric vector for the covariate
When one carefully investigates the time
, response
and subject
orders, s/he can easily understand the data structure which the model accepts. Baseline and later time points of the data may include different number of independent variables. Therefore, datasets for t=1 and t ≥q 2 are presented in different data objects, pnmtrem1.sim.data1
and pnmtrem1.sim.data2
, respectively.
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